Neuro-symbolic AI is a unique form of artificial intelligence that combines the strengths of neural and symbolic AI architectures. This powerful AI model can model cognition, learning, and reason, ...

An alternative to the neural network architectures at the heart of AI models like OpenAI’s o1 is having a moment. Called symbolic AI, it uses rules pertaining to particular tasks, like rewriting lines ...

Artificial intelligence can speed up and simplify time-consuming tasks through its ability to quickly spot patterns in data. By adding rule-based reasoning to the mix, neurosymbolic AI ups the ...

AllegroGraph Neuro-Symbolic AI Platform Integrates Symbolic AI, Machine Learning, Generative AI, and Vector Storage Neuro-Symbolic AI represents the next evolution of artificial intelligence, where ...

Power usage by AI and data center systems in the U.S. is extraordinary by any measure. The International Energy Agency estimates U.S. AI and data centers used about 415 terawatt hours of power in 2024 ...

As artificial intelligence (AI) powers ahead, the question is no longer if we will integrate AI into core Web3 protocols and applications, but how. Behind the scenes, the rise of NeuroSymbolic AI ...

A new class of artificial intelligence models is cutting the time needed to identify promising catalytic materials from weeks ...

AUI's acquisition of Quack AI signals growing enterprise demand for trainable AI agents that can handle complex customer service tasks autonomously. AUI, developer of the Apollo-1 neuro-symbolic ...

UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations ...

Neuro-symbolic AI is a unique form of artificial intelligence that combines the strengths of neural and symbolic AI architectures. This powerful AI model can model cognition, learning, and reason, ...